Description

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This position requires highly-motivated individuals who want to join us working at the intersection of the fast-moving field of large-scale models and shipping Apple’s hardware projects. You will be responsible for developing, implementing, evaluating, and improving computer vision algorithms in complex and diverse scenarios. Potential internship areas:- Multi-modal foundation models- Model personalization- Neural simulation techniques - Power-efficient deep learning

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Minimum Qualifications

Currently pursuing an MS or PhD degree in Computer Science, or a related field. PhD Students are preferred for research-focused internships.
At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.
Strong understanding of generative models and/or multi-modal foundation models.
Deep understanding in machine learning / deep learning fundamentals
Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required.
Demonstrable problem solving and analytical thinking abilities.
Excellent communication and collaboration skills.

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Preferred Qualifications

Hands-on experience with vision foundation models.
Strong software engineering skills and familiarity with developing code in larger codebases
Publication record at top conferences such as CVPR, ECCV, ICCV, NeurIPS or SIGGRAPH is a plus.
Availability for 6 months minimum is preferred.
Industry experience is a plus.

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About the company

Apple

Company overview

Apple designs and sells consumer devices including iPhone, iPad, Mac, Apple Watch, and AirPods, and runs services such as the App Store, iCloud, Apple Music, and Apple TV+. Apple sells to consumers, businesses, schools, and developers, with a mix of hardware sales and recurring services revenue. Apple also runs a large global retail and customer support operation alongside engineering, operations, and corporate teams. Early-career hiring shows up most clearly through internships, student support programs, and entry routes in Apple Retail.

Locations and presence

Apple has a global footprint, anchored by corporate and engineering hubs such as Cupertino, plus offices and Apple Stores worldwide. Public reporting has described Apple asking corporate staff to work in the office at least three days a week, while other roles are explicitly remote, including Apple Support College Advisor roles that train and work from a home office using an iMac Apple provides.

Palpable Score

75.8

/ 100

Apple offers multiple real entry points for students and graduates, spanning internships, retail roles that accept applicants without prior tech experience, and the Apple Support College Program. The scores are held back by limited public outcomes reporting: Apple does not publish early-career conversion, promotion, or retention metrics, so long-term results are harder to verify.

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